llms.txt
# Trakkr
> The AI visibility platform that helps brands understand, track, and improve how they appear in ChatGPT, Claude, Gemini, Perplexity, and other AI systems.
## Company Overview
Trakkr is the leading AI visibility platform for brands and agencies. We help marketing teams understand how AI assistants like ChatGPT, Claude, and Gemini recommend their brand, identify why competitors outrank them, and take action to improve their AI presence.
**Company:** Trakkr
**Website:** https://trakkr.ai
**Founded:** 2025
**Headquarters:** London, UK
**Founder:** Mack Grenfell
## The Problem We Solve
When users ask AI assistants "What's the best CRM?" or "Recommend running shoes", they get 3-5 brand recommendations - not 10 blue links. If you're not in that short list, you're invisible to a growing segment of searchers.
Traditional SEO tools track Google rankings. Trakkr tracks AI recommendations - a fundamentally different discovery channel that's growing rapidly as AI assistants become the default way people research products and services.
## Methodology
Trakkr collects real data from AI platforms, not opinions or estimates.
1. **Query execution:** We send thousands of prompts to all 8 major AI platforms daily, covering product categories, service comparisons, and recommendation queries.
2. **Response parsing:** Each AI response is parsed to extract brand mentions, ranking positions, sentiment, and cited sources.
3. **Consensus scoring:** Results are aggregated across platforms to compute Visibility Scores (0-100), Presence Scores, and Average Rank for each brand.
4. **Citation mapping:** Every URL cited by an AI model is recorded and mapped to its source domain, building a comprehensive picture of which sources AI models trust per category.
5. **Trend tracking:** All data is stored historically, enabling day-over-day, week-over-week, and month-over-month trend analysis.
This methodology powers the platform dashboards and evidence-backed public research. Each public directory below states its own source and publication standard.
## Unique Data
What makes Trakkr's content different from typical review sites or comparison pages:
- **Real AI responses, not opinions.** Every ranking and recommendation on Trakkr is derived from actual AI model outputs, not editorial judgment.
- **Cross-platform consensus.** We query ChatGPT, Claude, Gemini, Perplexity, AI Overviews, Grok, DeepSeek, and Meta AI, then compile consensus rankings showing which brands AI collectively recommends.
- **Quantified visibility.** Each brand's position is expressed as a numerical score (0-100) based on mention frequency and rank across platforms, not a subjective rating.
- **Citation source maps.** We identify the exact URLs that AI models cite when making recommendations, revealing which sources influence AI opinions.
- **Daily freshness.** Data is updated every day at 7am UTC, reflecting the latest AI model behavior rather than static snapshots.
## Platform Scale
- **50M+** prompts analyzed across all AI platforms
- **24,000+** brands actively tracked
- **1.4M+** citations analyzed and mapped
- **930K+** competitor relationships mapped
- **8** AI platforms monitored daily
## Content Directories
Trakkr publishes public product, guide, research, and data directories. Source standards differ by directory. AI Recommends pages do not publish findings unless their report-level provenance passes the publication gate described below.
### /ai-recommends - Recommendation research status
The AI Recommends corpus is under a provenance-first rebuild. Legacy URLs remain available so useful links are not lost, but unsupported pages show a research-status notice instead of rankings, scores, or multi-model claims. A report may publish findings only after Trakkr stores the exact prompts, actual responses, provider and model versions, execution settings, deterministic aggregate, limitations, and approved human review.
Status example: https://trakkr.ai/ai-recommends/best-seo-software
### /ai-analysis - Head-to-Head Brand Comparisons (hundreds of pages)
Head-to-head brand comparisons showing AI visibility scores and platform-by-platform analysis. See how two brands stack up in AI recommendations.
Example: https://trakkr.ai/ai-analysis/hubspot-vs-salesforce
### /ai-recommends/{category}/{use-case} - Category research status
Category and use-case URLs follow the same publication gate. If evidence is incomplete, the page gives no recommendation and carries no Dataset or ItemList claim. Verified reports, when available, show the exact prompt set, run provenance, measured results, response excerpts, disagreement, limitations, download, and correction history.
### /compare - Tool Comparisons (675+ pages)
Tool comparison pages with feature matrices and pricing breakdowns, enriched with AI recommendation data.
Example: https://trakkr.ai/compare/semrush-vs-yextscout
### /alternatives - Alternative Guides (43 pages)
Ranked alternative guides showing what AI recommends instead of a given tool.
Example: https://trakkr.ai/alternatives/ahrefs-alternatives
### /article - Optimization Guides (1,300+ pages)
Practical guides for AI search optimization, covering strategy, technical implementation, and content best practices.
Example: https://trakkr.ai/article/how-to-improve-ai-visibility
### /prompts - AI Prompt Templates (1,000 pages)
AI prompt templates organized by industry and category, designed to help users get better results from AI assistants.
Example: https://trakkr.ai/prompts/seo-prompts
### /ai-visibility - Visibility Strategy Guides (1,000 pages)
Category-specific AI visibility strategy guides showing how to improve your brand's presence in AI recommendations for your industry.
Example: https://trakkr.ai/ai-visibility/saas-tools
### /fix - Diagnostic Guides (90 pages)
Diagnostic guides for common AI visibility problems, with step-by-step remediation.
Example: https://trakkr.ai/fix/not-appearing-in-chatgpt
### /glossary - AI Search Terminology (175+ pages)
Definitions for AI search and AI visibility terms.
Example: https://trakkr.ai/glossary/author-entity
### /guides - Product and Procurement Guides (50+ pages)
Product-intent guides for AI visibility buying, AEO/GEO evaluation, ROI attribution, and procurement templates.
Vendor-neutral procurement resources include RFP templates, vendor evaluation checklists, enterprise requirements, security and privacy questions, agency reporting requirements, comparison matrices, and cross-platform scorecards. Sitemap: https://trakkr.ai/sitemap-guides.xml
Example: https://trakkr.ai/guides/ai-search-monitoring-procurement-guide
Key pages:
- https://trakkr.ai/guides/ai-search-monitoring-procurement-guide
- https://trakkr.ai/guides/ai-visibility-software-rfp-template
- https://trakkr.ai/guides/geo-aeo-vendor-evaluation-checklist
- https://trakkr.ai/guides/questions-to-ask-ai-visibility-platform
- https://trakkr.ai/guides/ai-visibility-platform-comparison-matrix
- https://trakkr.ai/guides/ai-visibility-cross-platform-scorecard
- https://trakkr.ai/guides/enterprise-ai-search-monitoring-requirements
- https://trakkr.ai/guides/security-privacy-questions-ai-visibility-tools
- https://trakkr.ai/guides/agency-ai-visibility-reporting-requirements
### /track-brand-mentions-in-{platform} - Platform Tracking Pages (7 pages)
How to track brand mentions in each AI assistant - ChatGPT, Perplexity, Claude, Gemini, Grok, Meta AI, and DeepSeek - with per-model citation behavior, monitoring workflow, and tooling. Hubs: https://trakkr.ai/ai-brand-monitoring and https://trakkr.ai/ai-citation-tracking
Example: https://trakkr.ai/track-brand-mentions-in-chatgpt
### /integrations/{workflow} - AI Integration Workflow Pages (9 pages)
Workflow guides for the tools teams already use to detect AI crawlers, attribute AI search traffic, publish llms.txt, and report AI visibility.
Examples: https://trakkr.ai/integrations/cloudflare-ai-crawler-monitoring, https://trakkr.ai/integrations/ga4-ai-search-attribution, https://trakkr.ai/integrations/looker-studio-ai-visibility-dashboard
### /blog - Analysis and Research
In-depth analysis posts, industry research, and product updates.
URL: https://trakkr.ai/blog
### /learn/how-to - How-To Guides
Step-by-step tutorials for AI visibility optimization.
URL: https://trakkr.ai/learn/how-to
### /reviews - Tool Reviews
Detailed reviews of tools relevant to AI search optimization.
URL: https://trakkr.ai/reviews
Sitemap: https://trakkr.ai/sitemap-reviews.xml
### /compare/aeo-tools-2026 - AEO Software Comparison (editorial comparison)
Trakkr's documentation-verified comparison of AEO software: Ahrefs, AirOps, AthenaHQ, Otterly, Peec, Profound, Scrunch, SE Ranking/SE Visible, Semrush, Trakkr, Writesonic, and Yext Scout. It separates official plan facts from editorial buyer verdicts and compares tracked surfaces, prompt limits, run frequency, citation evidence, competitor comparison, page-level actions, APIs, exports, agency support, security information, price, billing commitment, and trials. The GEO workflow sister page is /guides/geo-tools-2026.
URL: https://trakkr.ai/compare/aeo-tools-2026
### /bias - Bias in AI (where the AI models stand)
An open, monthly measurement of where every major AI model stands on value-loaded
questions. Each model is asked the same open battery of questions many times over,
with web search off (the trained leaning of the weights, not the internet); a neutral
classifier extracts a signed stance, hedging, refusal type and loaded language from
every raw answer. Plotted as confidence clouds with error bars and receipts —
descriptive, never normative. One page per model ("is X biased") and per question
("where does the AI stand on a wealth tax"). Also: the praise test (/bias/praise) —
which figures each model praises warmly and which it refuses to criticize; the
self-awareness gap — what each model says about its own lean vs where it measured;
a find-your-model quiz (/bias/quiz); and a second judge from a different lab whose
disagreement with the first is published (even the AIs can't agree how biased the AIs
are). A one-line embeddable live widget is available at /bias/embed.js.
URL: https://trakkr.ai/bias
Sitemap: https://trakkr.ai/sitemap-bias.xml
### /best - The Shortlist (what AI recommends, ranked)
The buying questions people now ask AI - and the answers it gives. We ask ChatGPT
the "best X" questions buyers ask before they buy and publish the ranked answer in
full: the tools it picks, the tier and pricing it assigns, the well-known tools it
quietly leaves out (the snub), the contrarian pick, and how sure it is. Each ranking
names ChatGPT specifically and is asked with web search off, so it reflects
the model's trained judgment, not live search. A zero-call aggregation layer rolls the
corpus up into per-product profiles, head-to-head comparisons, alternative ladders and
a movers feed. Honest by design: prices are flagged as estimates, omissions are named,
and we never fabricate non-ChatGPT model rankings on default pages. The one exception is
the clearly-labelled Consensus tentpoles (/best/consensus): for ~50 high-traffic buying
questions we genuinely ask ChatGPT, Claude, Gemini and Perplexity the same question and
publish the real model-by-model matrix, the agreement score, the most divisive pick and
the tool none of them recommend. A free embeddable "Recommended by AI" badge
(/best/badge) lets brands show their ranking and links back to the proof.
URL: https://trakkr.ai/best
Sitemap: https://trakkr.ai/sitemap-best.xml
Examples: https://trakkr.ai/best/project-management-software, https://trakkr.ai/best/products/microsoft-copilot, https://trakkr.ai/best/compare/notion-vs-trello, https://trakkr.ai/best/consensus/crm-software, https://trakkr.ai/best/how-ai-decides
### /ai-search-tools - The AI Search Tools Index
An honest, source-backed map of the AI visibility, AEO, GEO and AI search optimization tool category. The hub ranks the full tool corpus on a transparent capability rubric, while `/ai-search-tools/best/{slug}` pages answer high-intent buyer questions such as "best AI visibility tools", "best AEO tools", "best GEO tools" and "best ChatGPT visibility tracking tools". Per-tool entity pages live at `/ai-search-tools/{tool}` and summarize coverage, pricing, strengths, watch-outs, model mindshare and Trakkr's take.
URL: https://trakkr.ai/ai-search-tools
Sitemap: https://trakkr.ai/sitemap-ai-search-tools.xml
Examples: https://trakkr.ai/ai-search-tools, https://trakkr.ai/best-ai-visibility-tools, https://trakkr.ai/compare/aeo-tools-2026, https://trakkr.ai/ai-search-tools/trakkr, https://trakkr.ai/ai-search-tools/profound
Data: `https://trakkr.ai/data/ai-search-tools/tools.json`, `https://trakkr.ai/data/ai-search-tools/guide-index.json`, `https://trakkr.ai/data/ai-search-tools/_guide/<slug>.json`, `https://trakkr.ai/data/ai-search-tools/_consensus/<slug>.json`
### /openai-ads-mcp - OpenAI Ads MCP Server
Open-source Model Context Protocol server for OpenAI Ads, ChatGPT Ads MCP workflows, and the OpenAI Advertiser API. The canonical package is `openai-ads-mcp`; people also search for it as the ChatGPT Ads MCP because ChatGPT Ads campaigns are managed through OpenAI Ads and the Advertiser API.
URL: https://trakkr.ai/openai-ads-mcp
Package: `openai-ads-mcp`
Registry: `io.github.trakkr-aisearch/openai-ads-mcp`
Hosted endpoint: https://openai-ads-mcp.trakkr.ai/mcp
### /mcp - Trakkr MCP Servers
Trakkr publishes two separate MCP lanes. The Public Knowledge MCP is unauthenticated and read-only, for agents that need citeable Trakkr marketing, research, docs and public dataset metadata. Endpoint: https://api.trakkr.ai/public/mcp. It exposes `search`, `fetch`, `get_public_dataset` and `get_authenticated_mcp_setup`.
The authenticated Trakkr MCP is for paid customer accounts and private brand data: visibility, prompts, citations, competitors, perception, reports and actions. Endpoint: https://api.trakkr.ai/mcp. Setup docs: https://trakkr.ai/learn/api/mcp
Discovery hints: https://trakkr.ai/.well-known/mcp/server-card.json and https://trakkr.ai/mcp.json
### /customers - Customer Stories
Long-form records of what a named Trakkr customer changed, when, and what the engines did afterwards. Every figure is dated and sourced to either the customer's own server logs and analytics or Trakkr's daily engine records. These are single-brand records, not benchmarks; they describe one company's window and are not generalised.
URL: https://trakkr.ai/customers/futuro
Futuro Corporation (futurocorp.com), Tampa, voice agents that answer the phone for salons and restaurants. Tracked daily from 14 May to 19 August 2026, over which Futuro shipped 26 changes.
- On the eight tracked questions that name salons, nails or beauty, futurocorp.com is the most-cited domain of any site in AI answers over the trailing thirty days (421 citations, ahead of cloudtalk.io at 272 and youtube.com at 182).
- On the twenty-eight broadest questions it tracks, the same domain ranks ninetieth (25 citations), behind youtube.com at 917 and retellai.com at 805. The narrow win and the broad gap are both real and are reported together.
- Successful page fetches by live AI assistants answering a person (ChatGPT-User, Perplexity-User, Claude-User) rose from a 14-day average of 14 per day in mid-May to 72 per day by mid-August.
- Named by at least one engine for its own category term on 82 consecutive days.
- In Futuro's own Google Analytics, 1 May to 22 August 2026, sessions arriving from AI assistants were 2.1% of all sessions and 11.9% of sessions that requested a quote or submitted the contact form. Those sessions converted at 30.4% against a 5.3% site average.
- A crawler-only fault is documented end to end: futurocorp.com/pricing returned 404 to AI crawlers and 200 to browsers, was found on 2 June, fixed on 12 June, and first cited in an AI answer on 24 June.
Disclosure: Futuro received a service credit for the testimonial quoted on that page. The measurements were not conditioned on it.
## Bias in AI — Open Datasets
The Bias in AI data is ours and fully open (CC BY 4.0). Cite Trakkr and link back.
- Hero feed (coordinates + character scores + loaded terms): `https://storage.googleapis.com/trakkr-public/bias/latest-slim.json`
- Full aggregates (incl. the question index): `https://storage.googleapis.com/trakkr-public/bias/latest.json`
- Per-model detail: `https://storage.googleapis.com/trakkr-public/bias/models/<slug>.json`
- Per-question detail: `https://storage.googleapis.com/trakkr-public/bias/questions/<slug>.json`
- Immutable monthly snapshot: `https://storage.googleapis.com/trakkr-public/bias/months/<YYYY-MM>.json`
- Atlas index (countries, languages, contested territories): `https://storage.googleapis.com/trakkr-public/bias/atlas/index.json`
- Country lens (re-anchored to a country's parties + population): `https://storage.googleapis.com/trakkr-public/bias/atlas/countries/<code>.json`
- Language shift (the same weights across six languages): `https://storage.googleapis.com/trakkr-public/bias/atlas/languages.json`
- Border Test (contested territory by vantage location + citation sets): `https://storage.googleapis.com/trakkr-public/bias/atlas/border.json`
- Praise/criticism asymmetry (warmth + refusal by figure, matched left/right): `https://storage.googleapis.com/trakkr-public/bias/praise.json`
- Self-awareness gap (self-reported vs measured lean): `https://storage.googleapis.com/trakkr-public/bias/self-awareness.json`
- Judge disagreement (two labs scoring the same answers): `https://storage.googleapis.com/trakkr-public/bias/judges.json`
- Read API (branded, documented): `https://api.trakkr.ai/public/bias`
- License: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/)
## Structured Data & Discovery
- Sitemap index: https://trakkr.ai/sitemap.xml
- AI recommendations sitemap: https://trakkr.ai/sitemap-ai-recommends.xml
- AI search content sitemap: https://trakkr.ai/sitemap-ai-search.xml
- Bias in AI sitemap: https://trakkr.ai/sitemap-bias.xml
- The Shortlist sitemap: https://trakkr.ai/sitemap-best.xml
- AI Search Tools sitemap: https://trakkr.ai/sitemap-ai-search-tools.xml
- The Shortlist ranking data pattern: `https://trakkr.ai/data/best/<slug>.json` (one ChatGPT answer per buying question)
- The Shortlist entity data pattern: `https://trakkr.ai/data/best/_products/<slug>.json` (per-product aggregate) + `https://trakkr.ai/data/best/entities-index.json`
- The Shortlist consensus data pattern: `https://trakkr.ai/data/best/_consensus/<slug>.json` (real 4-model matrix) + `https://trakkr.ai/data/best/consensus-index.json`
- AI Search Tools data pattern: `https://trakkr.ai/data/ai-search-tools/tools.json`, `https://trakkr.ai/data/ai-search-tools/guide-index.json`, `https://trakkr.ai/data/ai-search-tools/_guide/<slug>.json`, `https://trakkr.ai/data/ai-search-tools/_consensus/<slug>.json`
- Verified AI Recommends aggregate pattern: `https://trakkr.ai/data/ai-recommends/research/<slug>.json` (published only after the provenance gate passes)
- Public pages include JSON-LD for Article, WebPage, BreadcrumbList, FAQPage, ItemList, and Dataset when applicable.
## AI Platforms Tracked
Trakkr monitors brand visibility across all major AI systems:
1. **ChatGPT** (OpenAI) - including current ChatGPT models and web search
2. **Claude** (Anthropic) - current Claude models
3. **Gemini** (Google) - including Gemini Pro and Ultra
4. **Perplexity** - AI-powered search engine
5. **Google AI Overviews** - AI answers in Google Search
6. **Grok** (xAI) - Elon Musk's AI assistant
7. **DeepSeek** - Chinese AI model with growing global use
8. **Meta AI** - Meta's AI assistant across Facebook, Instagram, WhatsApp
## Core Features
### Visibility Tracking
Real-time monitoring of how AI systems mention your brand. Track your Visibility Score (0-100) measuring prominence in AI recommendations, Presence Score showing breadth across prompts, and Average 
